Presentation: With Great Scalability Comes Great Responsibility

Track: Going Serverless

Location: Ballroom A

Duration: 5:25pm - 6:15pm

Day of week: Wednesday

Level: Intermediate

Persona: Architect, Chaos/Resiliency/SRE, CTO/CIO/Leadership, Developer

Abstract

This is a story of how I took down one of our vendor’s services with an innocent serverless application. I wanted to retrieve data from one of our monitoring platforms to analyze SPS Commerce’s software performance. Initially, I wrote a script to collect the data using python multiprocessing. To gather this data in a more scalable, fast, and efficient way, I decided to pivot to a serverless architecture. Unfortunately, my solution ended up spawning requests faster than the REST API could handle. In this talk, we will cover the contextual pros and cons of a number of architectural patterns given real world scalability constraints; from orchestrating Lambdas with AWS step functions to multiprocessing with S3 triggers to rate limiting with queues like SQS.

Speaker: Dana Katherine Engebretson

Performance Engineer @SPS Commerce

Dana Engebretson is a Performance Engineer at SPS Commerce, where she uses her background in Data Science to analyze software performance of distributed systems. She is also the founder of PyLadies Twin Cities. In her free time, you may find her writing bad computational poetry.

Find Dana Katherine Engebretson at

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